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Introduction

Hortonworks’ newly announced Data Governance Initiative provides the beginnings of a cross-industry council composed of customers with the goal of developing metadata services frameworks around which Hadoop data can be governed.

Highlights

  • The goal of data governance is to keep the Hadoop data lake from becoming an island beyond the reach of enterprise policies for handling data.
  • Until now, Hadoop has only been governed from the edges. It requires a data-centric approach to governance that is policy-driven.
  • Hortonworks' Data Governance Initiative has the goal of spawning potential new Apache open source projects based on demand identified by a council of enterprises drawn from a wide range of industries.

Features and Benefits

  • Summarizes the challenges of data governance in Hadoop.
  • Explains how Hortonworks' Data Governance Initiative will address this problem, and the challenges that Ovum sees to achieving it.

Key questions answered

  • Why is data governance difficult in Hadoop?
  • How have existing Hadoop projects fallen short in addressing the broader data governance challenge?
  • What are the challenges that Hortonworks' initiative must overcome to adequately address data governance in Hadoop?

Table of contents

Ovum view

  • Summary
  • Governance: Keeping the data lake from becoming an island
  • Until now, Hadoop data governed only at the edges
  • Hortonworks takes on the thankless but necessary tasks

Appendix

  • Further reading
  • Author

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